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Workato VS Apache Spark

Compare Workato VS Apache Spark and see what are their differences

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Workato logo Workato

Experts agree - we're the leader. Forrester Research names Workato a Leader in iPaaS for Dynamic Integration. Get the report. Gartner recognizes Workato as a “Cool Vendor in Social Software and Collaboration”.

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
  • Workato Landing page
    Landing page //
    2023-09-16
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Workato videos

+ Add

Webinar Series by Workato | Introduction to Workato (Main)

More videos:

  • Review - Workato Product Updates - February 2020
  • Review - Vijay Tella, Workato CEO: Welcome to the New Era of Automation

Apache Spark videos

+ Add

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Category Popularity

0-100% (relative to Workato and Apache Spark)

Workato

Apache Spark

Data Integration
100 100%
Data Integration
0% 0
Databases
0 0%
Databases
100% 100
Web Service Automation
100 100%
Web Service Automation
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Workato and Apache Spark. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Workato and Apache Spark

Workato Reviews

Top 15 MuleSoft Competitors and Alternatives
Workato is a leader in enterprise automation that provides a no-code platform for automating business workflows. In Aug 2022, Workato was named to the Forbes Cloud 100 list. The company serves over 17,000 brands, including Broadcom, Intuit, and Box. [5]
Source: bstrategyhub.com
Top 9 MuleSoft Alternatives & Competitors in 2024
From ticketing systems and monitoring tools to cloud services and databases, Workato seamlessly integrates with a wide range of applications. This ensures smooth information flow across your IT ecosystem. By leveraging Workato, you can focus on strategic initiatives, enhance service delivery, and achieve operational excellence.
Source: www.zluri.com
7 Best Zapier Alternatives to Meet Your Integration Needs
Zapier’s pricing, while high, is more justifiable than Workato’s. Workato doesn’t make its pricing information public to begin with. Workato compels the buyers to go through its sales and demo process to give them custom pricing.
Source: www.linkedin.com
Zapier: The $5B unbundling opportunity
Workato and Integromat are working on “Zapier for Business” with features like SOC2-compliance, role-based-authentication, and on-premises support.
Source: www.georgesequeira.com
15 Great Zapier Alternatives to Automate your Workflows
Trusted by renowned brands like Slack, Levi's, Zendesk, and Intuit, Workato is one of the biggest players in the automation field, and is a great option for those who can afford the hefty price tag.
Source: paperform.co

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Source: searchbusinessanalytics.techtarget.com
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Apache Spark seems to be more popular. It has been mentiond 56 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Workato mentions (0)

We have not tracked any mentions of Workato yet. Tracking of Workato recommendations started around Mar 2021.

Apache Spark mentions (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 2 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 4 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
View more

What are some alternatives?

When comparing Workato and Apache Spark, you can also consider the following products

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

MuleSoft Anypoint Platform - Anypoint Platform is a unified, highly productive, hybrid integration platform that creates an application network of apps, data and devices with API-led connectivity.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Boomi - The #1 Integration Cloud - Build Integrations anytime, anywhere with no coding required using Dell Boomi's industry leading iPaaS platform.

Hadoop - Open-source software for reliable, scalable, distributed computing

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